Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information
In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computation of fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantified statements, approximate knowledge retrieval, and natural language query understanding.
1116822627
Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information
In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computation of fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantified statements, approximate knowledge retrieval, and natural language query understanding.
109.99 In Stock
Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information

Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information

by Tru Hoang Cao
Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information

Conceptual Graphs and Fuzzy Logic: A Fusion for Representing and Reasoning with Linguistic Information

by Tru Hoang Cao

Overview

In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computation of fuzzy granules. Second, for automated reasoning with fuzzy conceptual graphs, we develop foundations of order-sorted fuzzy set logic programming, extending the theory of annotated logic programs of Kifer and Subrahmanian (1992). Third, we show some recent applications of fuzzy conceptual graphs to modelling and computing with generally quantified statements, approximate knowledge retrieval, and natural language query understanding.

Product Details

ISBN-13: 9783642264092
Publisher: Springer Berlin Heidelberg
Publication date: 09/05/2012
Series: Studies in Computational Intelligence , #306
Edition description: 2010
Pages: 240
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Fuzzy Conceptual Graphs.- Annotated Fuzzy Logic Programming.- Fuzzy Conceptual Graph Programming.- Modelling and Computing with Generally Quantified Statements.- Approximate Knowledge Retrieval.- Natural Language Query Understanding.
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